Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry as a Platform for Characterizing Multimeric Membrane Protein Complexes.
Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry as a Platform for Characterizing Multimeric Membrane Protein Complexes.
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傅立叶转化离子回旋共振质谱法作为表征多聚体膜蛋白复合物的平台。
DOI:
10.1007/s13361-017-1799-4
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发表时间:
2018-01
影响因子:
3.2
通讯作者:
Campuzano IDG
中科院分区:
文献类型:
--
作者:
Lippens JL;Nshanian M;Spahr C;Egea PF;Loo JA;Campuzano IDG
Membrane protein characterization is consistently hampered by challenges with expression, purification and solubilization. Among several biophysical techniques employed for their characterization, native-mass spectrometry (MS) has emerged as a powerful tool for the analysis of membrane proteins and complexes. Here, two MS platforms, the FT-ICR and QToF, have been explored to analyze the homotetrameric water channel protein, AquaporinZ (AqpZ) under non-denaturing conditions. This 97 kDa membrane protein complex can be readily liberated from the octylglucoside (OG) detergent micelle under a range of instrument conditions on both MS platforms. Increasing the applied collision energy of the FT-ICR collision cell yielded varying degrees of tetramer (97 kDa) liberation from the OG micelles, as well as dissociation into the trimeric (72 kDa) and monomeric (24 kDa) substituents. Tandem-MS on the Q-ToF yielded higher intensity tetramer signal and, depending on the m/z region selected, the observed monomer signal varied in intensity. Precursor ion selection of an m/z range above the expected protein signal distribution, followed by mild collisional activation is able to efficiently liberate AqpZ with a high S/N ratio. The tetrameric charge state distribution obtained on both instruments demonstrated superpositioning of multiple proteoforms due to varying degrees of N-terminal formylation.
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影响因子:
7.4
作者:
Calabrese AN;Watkinson TG;Henderson PJ;Radford SE;Ashcroft AE
通讯作者:
Ashcroft AE
影响因子:
14.8
作者:
通讯作者:
--
DOI:
10.1113/jphysiol.2014.283150
发表时间:
2015-01-15
期刊:
The Journal of physiology
影响因子:
--
作者:
Landreh M;Robinson CV
通讯作者:
Robinson CV
影响因子:
1.8
作者:
Lange, Oliver;Damoc, Eugen;Makarov, Alexander
通讯作者:
Makarov, Alexander
影响因子:
2.9
作者:
le Coutre, J;Whitelegge, JP;Faull, KF
通讯作者:
Faull, KF